Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Books reviewed: Manfred F. Boemeke, Roger Chickering, Stig Förster (eds.), Anticipating Total War: The German and American Experiences, 1871–1914 Sidney Fine, Expanding the Frontiers of Civil Rights: Michigan, 1948–1968 Ted Robert Gurr, People Versus States: Minorities at Risk in the New Century Paul Hollander, Political Will and Personal Belief: The Decline and Fall of Soviet Communism Andrew Kohut, John C. Green, Scott Keeter, and Robert C. Toth, The Diminishing Divide: Religion’s Changing Role in American Politics Shawn William Miller, Fruitless Trees: Portuguese Conservation and Brazil’s Colonial Timber Marc Mulholland, Northern Ireland at the Crossroads: Ulster Unionism in the O’Neill Years, 1960–1969. Dickson A. Mungazi, In the Footsteps of the Masters: Desmond M. Tutu and Abel T. Muzorewa Jennie Purnell, Popular Movements and State Formation in Revolutionary Mexico: The Agraristas and Cristeros of Michoacán Ruth Rosen, The World Split Open: How the Modern Women’s Movement Changed America William Shawcross, Deliver Us From Evil: Peacekeepers, Warlords and a World of Endless Conflict George Warecki, Protecting Ontario’s Wilderness: A History of Changing Ideas and Preservation Politics, 1927–1973
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it